Xianxin Hua

10.8k total citations · 3 hit papers
102 papers, 8.8k citations indexed

About

Xianxin Hua is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Xianxin Hua has authored 102 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 30 papers in Epidemiology and 29 papers in Oncology. Recurrent topics in Xianxin Hua's work include Neuroendocrine Tumor Research Advances (30 papers), Neuroblastoma Research and Treatments (21 papers) and Lung Cancer Research Studies (13 papers). Xianxin Hua is often cited by papers focused on Neuroendocrine Tumor Research Advances (30 papers), Neuroblastoma Research and Treatments (21 papers) and Lung Cancer Research Studies (13 papers). Xianxin Hua collaborates with scholars based in United States, China and Slovakia. Xianxin Hua's co-authors include Michael S. Brown, Joseph L. Goldstein, Xiaodong Wang, Michael R. Briggs, Chieko Yokoyama, Ryuichiro Sato, Jian Wu, Juro Sakai, Smita Matkar and Axel Nohturfft and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Xianxin Hua

102 papers receiving 8.7k citations

Hit Papers

SREBP-1, a membrane-bound transcription factor released b... 1993 2026 2004 2015 1994 1993 1993 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xianxin Hua United States 42 5.5k 2.8k 2.1k 1.5k 1.4k 102 8.8k
David B. Shackelford United States 23 6.1k 1.1× 1.2k 0.4× 983 0.5× 2.7k 1.8× 1.8k 1.3× 36 8.7k
Ju‐Seog Lee United States 61 7.9k 1.4× 1.4k 0.5× 3.7k 1.7× 1.4k 0.9× 3.9k 2.8× 218 13.3k
Satdarshan P. Monga United States 58 6.9k 1.3× 2.9k 1.0× 1.6k 0.7× 2.1k 1.4× 1.4k 1.0× 229 11.7k
Ryuichiro Doi Japan 48 2.9k 0.5× 2.7k 1.0× 4.4k 2.1× 1.6k 1.0× 1.1k 0.8× 224 8.3k
Andrew R. Tee United Kingdom 39 6.6k 1.2× 579 0.2× 860 0.4× 1.3k 0.9× 970 0.7× 69 9.1k
Michael Ohh Canada 44 7.7k 1.4× 679 0.2× 1.7k 0.8× 638 0.4× 6.9k 4.9× 99 11.2k
Isabel Fabregat Spain 53 4.8k 0.9× 1.1k 0.4× 2.4k 1.1× 1.4k 0.9× 1.4k 1.0× 168 8.8k
Tsuneo Ikenoue Japan 45 5.5k 1.0× 1.6k 0.6× 1.8k 0.9× 692 0.4× 939 0.7× 115 9.3k
Lars Rönnstrand Sweden 54 5.9k 1.1× 677 0.2× 2.0k 0.9× 362 0.2× 957 0.7× 173 10.2k
Christine Perret France 48 5.4k 1.0× 1.4k 0.5× 1.8k 0.8× 798 0.5× 1.4k 1.0× 158 8.7k

Countries citing papers authored by Xianxin Hua

Since Specialization
Citations

This map shows the geographic impact of Xianxin Hua's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xianxin Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianxin Hua more than expected).

Fields of papers citing papers by Xianxin Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xianxin Hua. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xianxin Hua. The network helps show where Xianxin Hua may publish in the future.

Co-authorship network of co-authors of Xianxin Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Xianxin Hua. A scholar is included among the top collaborators of Xianxin Hua based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xianxin Hua. Xianxin Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Feng, Zijie, et al.. (2025). Nanobody-Directed CEA-Targeting CAR T Cells Eliminate Gastrointestinal Cancer Xenografts. Cancer Immunology Research. 13(8). 1160–1171. 2 indexed citations
2.
Meng, Fanju, Xuebin Zhang, Ran Wei, et al.. (2025). Histone Lactylation Antagonizes Senescence and Skeletal Muscle Aging by Modulating Aging‐Related Pathways. Advanced Science. 12(22). e2412747–e2412747. 5 indexed citations
3.
Wertheim, Gerald, Shikha Gaur, Joseph P. Loftus, et al.. (2025). DYRK1A inhibition results in MYC and ERK activation rendering KMT2A-R acute lymphoblastic leukemia cells sensitive to BCL2 inhibition. Leukemia. 39(5). 1078–1089. 1 indexed citations
4.
Altman, L.C., Zijie Feng, Kunfeng Sun, et al.. (2023). Menin Maintains Cholesterol Content in Colorectal Cancer via Repression of LXR-Mediated Transcription. Cancers. 15(16). 4126–4126. 3 indexed citations
5.
Campbell, Jeffrey A., Zhiyu Li, Zhiyu Li, et al.. (2022). 2‐Aminothiophene derivatives as a new class of positive allosteric modulators of glucagon‐like peptide 1 receptor. Chemical Biology & Drug Design. 99(6). 857–867. 3 indexed citations
6.
Katona, Bryson W., Yan Cao, Xuyao Zhang, et al.. (2020). Menin-mediated Repression of Glycolysis in Combination with Autophagy Protects Colon Cancer Against Small-molecule EGFR Inhibitors. Molecular Cancer Therapeutics. 19(11). 2319–2329. 5 indexed citations
7.
He, Xin, Zijie Feng, Jian Ma, et al.. (2020). Bispecific and split CAR T cells targeting CD13 and TIM3 eradicate acute myeloid leukemia. Blood. 135(10). 713–723. 155 indexed citations
8.
Katona, Bryson W., Zijie Feng, Caroline I. Davis, et al.. (2019). Combined Menin and EGFR Inhibitors Synergize to Suppress Colorectal Cancer via EGFR-Independent and Calcium-Mediated Repression of SKP2 Transcription. Cancer Research. 79(9). 2195–2207. 22 indexed citations
9.
Xing, Bowen, Jian Ma, Zongzhe Jiang, et al.. (2019). GLP-1 signaling suppresses menin’s transcriptional block by phosphorylation in β cells. The Journal of Cell Biology. 218(3). 855–870. 9 indexed citations
10.
Chaudhari, Rajan, Zhiyu Li, Zhiyu Li, et al.. (2019). Structural Modeling and in Silico Screening of Potential Small-Molecule Allosteric Agonists of a Glucagon-like Peptide 1 Receptor. ACS Omega. 4(1). 961–970. 16 indexed citations
11.
Gurung, Buddha, Zijie Feng, & Xianxin Hua. (2013). Menin Directly Represses Gli1 Expression Independent of Canonical Hedgehog Signaling. Molecular Cancer Research. 11(10). 1215–1222. 36 indexed citations
12.
Gurung, Buddha, Zijie Feng, Daniel V. Iwamoto, et al.. (2013). Menin Epigenetically Represses Hedgehog Signaling in MEN1 Tumor Syndrome. Cancer Research. 73(8). 2650–2658. 79 indexed citations
13.
Matkar, Smita, Austin Thiel, & Xianxin Hua. (2013). Menin: a scaffold protein that controls gene expression and cell signaling. Trends in Biochemical Sciences. 38(8). 394–402. 195 indexed citations
14.
Wu, Ting, Xiuli Zhang, Xiaohua Huang, Yuqing Yang, & Xianxin Hua. (2010). Regulation of Cyclin B2 Expression and Cell Cycle G2/M Transition by Menin. Journal of Biological Chemistry. 285(24). 18291–18300. 53 indexed citations
15.
He, Huiying, Xianxin Hua, & Jizhou Yan. (2010). Epigenetic regulations in hematopoietic Hox code. Oncogene. 30(4). 379–388. 28 indexed citations
16.
Andl, Claudia D., Takaomi Okawa, Mark Bowser, et al.. (2006). Coordinated Functions of E-Cadherin and Transforming Growth Factor β Receptor II In vitro and In vivo. Cancer Research. 66(20). 9878–9885. 33 indexed citations
17.
Yan, Jizhou, Karen Keeshan, Anthony Tubbs, et al.. (2006). The tumor suppressor menin regulates hematopoiesis and myeloid transformation by influencing Hox gene expression. Proceedings of the National Academy of Sciences. 103(4). 1018–1023. 139 indexed citations
18.
Yan, Jizhou, et al.. (2006). Cdx4 and Menin Co-Regulate Hoxa9 Expression in Hematopoietic Cells. PLoS ONE. 1(1). e47–e47. 26 indexed citations
20.
Hua, Xianxin, et al.. (1988). ULTRASTRUCTURE OF REPRODUCTIVE ORGANS OF ADULT SCHISTOSOMA JAPONICUM CULTURED IN VITRO. Acta Hydrobiologica Sinica. 12(3). 236–240. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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